code: def testWrongDimensions(self):
      # The input to qr should be a tensor of at least rank 2.
      scalar = constant_op.constant(1.0)
      with self.assertRaisesRegex(
          (ValueError, errors_impl.InvalidArgumentError), "rank.* 2.*0"
      ):
          linalg_ops.qr(scalar)
      vector = constant_op.constant([1.0, 2.0])
      with self.assertRaisesRegex(
          (ValueError, errors_impl.InvalidArgumentError), "rank.* 2.*1"
      ):
          linalg_ops.qr(vector)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the QrOpTest obj's underlying member method code with example usage: obj.testWrongDimensions() without return types